Parallel Scientific Computation

Building upon the wide-ranging success of the first edition, Parallel Scientific Computation presents a single unified approach to using a range of parallel computers, from a small desktop computer to a massively parallel computer.

Parallel Scientific Computation

Parallel Scientific Computation

Building upon the wide-ranging success of the first edition, Parallel Scientific Computation presents a single unified approach to using a range of parallel computers, from a small desktop computer to a massively parallel computer. The author explains how to use the bulk synchronous parallel (BSP) model to design and implement parallel algorithms in the areas of scientific computing and big data, and provides a full treatment of core problems in these areas, starting from a high-level problem description, via a sequential solution algorithm to a parallel solution algorithm and an actual parallel program written in BSPlib. Every chapter of the book contains a theoretical section and a practical section presenting a parallel program and numerical experiments on a modern parallel computer to put the theoretical predictions and cost analysis to the test. Every chapter also presents extensive bibliographical notes with additional discussions and pointers to relevant literature, and numerous exercises which are suitable as graduate student projects. The second edition provides new material relevant for big-data science such as sorting and graph algorithms, and it provides a BSP approach towards new hardware developments such as hierarchical architectures with both shared and distributed memory. A single, simple hybrid BSP system suffices to handle both types of parallelism efficiently, and there is no need to master two systems, as often happens in alternative approaches. Furthermore, the second edition brings all algorithms used up to date, and it includes new material on high-performance linear system solving by LU decomposition, and improved data partitioning for sparse matrix computations. The book is accompanied by a software package BSPedupack, freely available online from the author's homepage, which contains all programs of the book and a set of test driver programs. This package written in C can be run using modern BSPlib implementations such as MulticoreBSP for C or BSPonMPI.

More Books:

Parallel Scientific Computation
Language: en
Pages: 416
Authors: Rob H. Bisseling
Categories: Computers
Type: BOOK - Published: 2020-09-30 - Publisher: Oxford University Press

Building upon the wide-ranging success of the first edition, Parallel Scientific Computation presents a single unified approach to using a range of parallel computers, from a small desktop computer to a massively parallel computer. The author explains how to use the bulk synchronous parallel (BSP) model to design and implement
Parallel Scientific Computing and Optimization
Language: en
Pages: 274
Authors: Raimondas Ciegis, David Henty, Bo Kågström, Julius Žilinskas
Categories: Mathematics
Type: BOOK - Published: 2008-10-08 - Publisher: Springer Science & Business Media

Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel
PARALLEL SCIENTIFIC COMPUTATION
Language: en
Pages:
Authors: BISSELING.
Categories: Mathematics
Type: BOOK - Published: - Publisher:

Books about PARALLEL SCIENTIFIC COMPUTATION
Parallel Processing for Scientific Computing
Language: en
Pages: 397
Authors: Michael A. Heroux, Padma Raghavan, Horst D. Simon
Categories: Computers
Type: BOOK - Published: 2006-01-01 - Publisher: SIAM

Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on. As scientific
Parallel Scientific Computing
Language: en
Pages: 566
Authors: Jack Dongarra, Jerzy Wasniewski
Categories: Computers
Type: BOOK - Published: 1994-11-23 - Publisher: Springer Science & Business Media

This volume presents the proceedings of the First International workshop on Parallel Scientific Computing, PARA '94, held in Lyngby, Denmark in June 1994. It reports interdisciplinary work done by mathematicians, scientists and engineers working on large-scale computational problems in discussion with computer science specialists in the field of parallel methods

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